| A knowledge acquisition process to analyse operational problems in solid waste management facilities. | |
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MedLine Citation:
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PMID: 16941992 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The available expertise on managing and operating solid waste management (SWM) facilities varies among countries and among types of facilities. Few experts are willing to record their experience, while few researchers systematically investigate the chains of events that could trigger operational failures in a facility; expertise acquisition and dissemination, in SWM, is neither popular nor easy, despite the great need for it. This paper presents a knowledge acquisition process aimed at capturing, codifying and expanding reliable expertise and propagating it to non-experts. The knowledge engineer (KE), the person performing the acquisition, must identify the events (or causes) that could trigger a failure, determine whether a specific event could trigger more than one failure, and establish how various events are related among themselves and how they are linked to specific operational problems. The proposed process, which utilizes logic diagrams (fault trees) widely used in system safety and reliability analyses, was used for the analysis of 24 common landfill operational problems. The acquired knowledge led to the development of a web-based expert system (Landfill Operation Management Advisor, http://loma.civil.duth.gr), which estimates the occurrence possibility of operational problems, provides advice and suggests solutions. |
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Authors:
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Ioannis M Dokas; Demetrios C Panagiotakopoulos |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Volume: 24 ISSN: 0734-242X ISO Abbreviation: Waste Manag Res Publication Date: 2006 Aug |
Date Detail:
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Created Date: 2006-08-31 Completed Date: 2006-12-05 Revised Date: 2008-07-09 |
Medline Journal Info:
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Nlm Unique ID: 9881064 Medline TA: Waste Manag Res Country: England |
Other Details:
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Languages: eng Pagination: 332-44 Citation Subset: IM |
Affiliation:
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Laboratory of Project Management, Civil Engineering Department, Democritus University of Thrace, Xanthi, Greece. idokas@uni-paderborn.de |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Decision Making Decision Trees Facility Design and Construction / standards* Humans Quality Control Refuse Disposal / methods*, standards Safety Management / methods, standards Task Performance and Analysis* Waste Management / methods*, standards* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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